Xtrackers Sp 500 Etf Market Value
| SNPE Etf | USD 55.06 0.10 0.18% |
| Symbol | Xtrackers |
The market value of Xtrackers SP 500 is measured differently than its book value, which is the value of Xtrackers that is recorded on the company's balance sheet. Investors also form their own opinion of Xtrackers' value that differs from its market value or its book value, called intrinsic value, which is Xtrackers' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Xtrackers' market value can be influenced by many factors that don't directly affect Xtrackers' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Xtrackers' value and its price as these two are different measures arrived at by different means. Investors typically determine if Xtrackers is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Xtrackers' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Xtrackers 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Xtrackers' etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Xtrackers.
| 06/20/2023 |
| 12/11/2024 |
If you would invest 0.00 in Xtrackers on June 20, 2023 and sell it all today you would earn a total of 0.00 from holding Xtrackers SP 500 or generate 0.0% return on investment in Xtrackers over 540 days. Xtrackers is related to or competes with Vanguard, Vanguard Real, Vanguard Total, and Vanguard High. The index is a broad-based, market capitalization weighted index that provides exposure to companies with high environme... More
Xtrackers Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Xtrackers' etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Xtrackers SP 500 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6359 | |||
| Information Ratio | 0.0367 | |||
| Maximum Drawdown | 3.84 | |||
| Value At Risk | (0.90) | |||
| Potential Upside | 1.13 |
Xtrackers Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Xtrackers' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Xtrackers' standard deviation. In reality, there are many statistical measures that can use Xtrackers historical prices to predict the future Xtrackers' volatility.| Risk Adjusted Performance | 0.1599 | |||
| Jensen Alpha | 0.0551 | |||
| Total Risk Alpha | 0.0329 | |||
| Sortino Ratio | 0.0386 | |||
| Treynor Ratio | 0.1896 |
Xtrackers SP 500 Backtested Returns
At this point, Xtrackers is very steady. Xtrackers SP 500 shows Sharpe Ratio of 0.18, which attests that the etf had a 0.18% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Xtrackers SP 500, which you can use to evaluate the volatility of the etf. Please check out Xtrackers' Mean Deviation of 0.4781, downside deviation of 0.6359, and Market Risk Adjusted Performance of 0.1996 to validate if the risk estimate we provide is consistent with the expected return of 0.12%. The entity maintains a market beta of 0.73, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Xtrackers' returns are expected to increase less than the market. However, during the bear market, the loss of holding Xtrackers is expected to be smaller as well.
Auto-correlation | 0.73 |
Good predictability
Xtrackers SP 500 has good predictability. Overlapping area represents the amount of predictability between Xtrackers time series from 20th of June 2023 to 16th of March 2024 and 16th of March 2024 to 11th of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Xtrackers SP 500 price movement. The serial correlation of 0.73 indicates that around 73.0% of current Xtrackers price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.73 | |
| Spearman Rank Test | 0.73 | |
| Residual Average | 0.0 | |
| Price Variance | 7.39 |
Xtrackers SP 500 lagged returns against current returns
Autocorrelation, which is Xtrackers etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Xtrackers' etf expected returns. We can calculate the autocorrelation of Xtrackers returns to help us make a trade decision. For example, suppose you find that Xtrackers has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Xtrackers regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Xtrackers etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Xtrackers etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Xtrackers etf over time.
Current vs Lagged Prices |
| Timeline |
Xtrackers Lagged Returns
When evaluating Xtrackers' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Xtrackers etf have on its future price. Xtrackers autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Xtrackers autocorrelation shows the relationship between Xtrackers etf current value and its past values and can show if there is a momentum factor associated with investing in Xtrackers SP 500.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Xtrackers SP 500 is a strong investment it is important to analyze Xtrackers' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Xtrackers' future performance. For an informed investment choice regarding Xtrackers Etf, refer to the following important reports:Check out Xtrackers Correlation, Xtrackers Volatility and Xtrackers Alpha and Beta module to complement your research on Xtrackers. You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
Xtrackers technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.